Performance Optimization Strategy for Quantum Satellite Communication Based on Entanglement Feedback Control

2021 ◽  
Vol 58 (5) ◽  
pp. 0527002-527002271
Author(s):  
聂敏 Nie Min ◽  
张彦朋 Zhang Yanpeng ◽  
杨光 Yang Guang ◽  
张美玲 Zhang Meiling ◽  
裴昌幸 Pei Changxing
Keyword(s):  
Feedback Control ◽  
Performance Optimization ◽  
Satellite Communication ◽  
Optimization Strategy

scholarly journals Layered Feedback Control Overcomes Performance Trade-off in Synthetic Biomolecular Networks

2021 ◽  
Author(s):  
Chelsea Hu ◽  
Richard Murray
Keyword(s):  
Feedback Control ◽  
Control Theory ◽  
Biological Networks ◽  
Performance Optimization ◽  
System Analysis ◽  
Mechanistic Model ◽  
Optimization Strategy ◽  
Trade Off ◽  
Environmental Perturbations ◽  
Biomolecular Networks

Abstract Layered feedback is an optimization strategy in feedback control designs widely used in electrical and mechanical engineering. Layered control theory suggests that the performance of controllers is bound by the universal robustness-efficiency trade-off limit, which could be overcome by layering two or more feedbacks together. In natural biological networks, genes are often regulated with redundancy and layering to adapt to environmental perturbations. Control theory hypothesizes that this layering architecture is also adopted by nature to overcome this performance trade-off. In this work, we validated this property of layered control with a synthetic network in living E. coli cells. We performed system analysis on a node-based design to confirm the trade-off properties before proceeding to simulations with an effective mechanistic model, which guided us to the best performing design to engineer in cells. Finally, we interrogated its system dynamics experimentally with eight sets of perturbations on chemical signals, nutrient abundance, and growth temperature. For all cases, we consistently observed that the layered control overcomes the robustness-efficiency trade-off limit. This work experimentally confirmed that layered control could be adopted in synthetic biomolecular networks as a performance optimization strategy. It also provided insights in understanding genetic feedback control architectures in nature.

scholarly journals Layered Feedback Control Overcomes Performance Trade-off in Synthetic Biomolecular Networks

2021 ◽  
Author(s):  
Chelsea Y. Hu ◽  
Richard M Murray
Keyword(s):  
Feedback Control ◽  
Control Theory ◽  
Biological Networks ◽  
Performance Optimization ◽  
System Analysis ◽  
Mechanistic Model ◽  
Optimization Strategy ◽  
Trade Off ◽  
Environmental Perturbations ◽  
Biomolecular Networks

Layered feedback is an optimization strategy in feedback control designs widely used in electrical and mechanical engineering. Layered control theory suggests that the performance of controllers is bound by the universal robustness-efficiency trade-off limit, which could be overcome by layering two or more feedbacks together. In natural biological networks, genes are often regulated with redundancy and layering to adapt to environmental perturbations. Control theory hypothesizes that this layering architecture is also adopted by nature to overcome this performance trade-off. In this work, we validated this property of layered control with a synthetic network in living E. coli cells. We performed system analysis on a node-based design to confirm the trade-off properties before proceeding to simulations with an effective mechanistic model, which guided us to the best performing design to engineer in cells. Finally, we interrogated its system dynamics experimentally with eight sets of perturbations on chemical signals, nutrient abundance, and growth temperature. For all cases, we consistently observed that the layered control overcomes the robustness-efficiency trade-off limit. This work experimentally confirmed that layered control could be adopted in synthetic biomolecular networks as a performance optimization strategy. It also provided insights in understanding genetic feedback control architectures in nature.

scholarly journals Smes’ Performance Evaluation and Optimization Based on DEA and CFI

2013 ◽  
Vol 4 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Zhao Shi ◽  
Josu Takala ◽  
Matti Muhos ◽  
Jyrki Poikkimaki ◽  
Yang Chen
Keyword(s):  
Performance Assessment ◽  
Performance Optimization ◽  
Dynamic Environment ◽  
Critical Factor ◽  
Assessment Method ◽  
Enterprise Performance ◽  
Optimization Strategy ◽  
Real World Data ◽  
Core Content ◽  
Technological Effectiveness

Abstract It is a core content of enterprise performance research evaluating and comparing enterprise performance in dynamic environment. In allusion to this problem, a variety of enterprise performance assessment methods and indexes systems are proposed. Data envelopment analysis (DEA) is a kind of effective mathematical model which is used for comparing the performance among enterprises or different units inside an enterprise, based on the real-world data. Through comparing the performance, DEA can evaluate the enterprise performance from scale effectiveness and technological effectiveness, and then get the performance optimization goals. Critical Factor Index (CFI) is a new enterprise performance assessment method proposed in recent years. This method, based on the performance perception of business leaders or staffs, evaluates the enterprise performance in different dimensions, and then gets the optimization strategy of enterprise resource allocation to improve integrated enterprise performance. This paper has structured a new evaluation and optimization system for performance of small and medium-sized enterprises (SMEs), which combine properly the DEA and CFI method to evaluate and optimize the SMEs’ performance comprehensively, and has confirm this system with data of 5 Finnish SMEs.

scholarly journals Strategi Optimalisasi Program Mobile Pusat Layanan Internet Kecamatan (M-Plik) Di Kota Palopo

2021 ◽  
Vol 4 (2) ◽  
pp. 100
Author(s):  
Ahmad Ali Hakam Dani ◽  
Rinto Suppa
Keyword(s):  
Performance Optimization ◽  
Universal Service ◽  
Main Function ◽  
Service Center ◽  
Optimization Strategy ◽  
Research Strategies ◽  
Maximum Performance ◽  
Internet Service ◽  
Universal Service Obligation ◽  
The Government

Pada Tahun 2010, Pemerintah melalui Kementerian Komunikasi dan Informatika meluncurkan Program Pusat Layanan Internet Kecamatan (PLIK) dan Program Mobile Pusat Layanan Internet Kecamatan (M-PLIK). Program ini merupakan bagian dari Program Layanan Universal Service Obligation (USO) dengan layanan dasar (voice) hingga layanan data (internet). Namun setelah di evaluasi, ditemukan bahwa program ini menimbulkan persolan dimana-mana, mulai dari penyebaran program ini yang tidak merata, masalah utang piutang dengan pihak yang terlibat, terbengkalainya puluhan armada M- PLIK di beberapa daerah, sampai kepada terendusnya tindak korupsi yang dilakukan pejabat Kemkominfo. Berdasarkan hasil pengamatan tentang kondisi Program M-PLIK di Kota Palopo, informasi bahwa M-PLIK masih beroperasi di Kota Palopo, namun sejak Tahun 2015 tidak lagi digunakan sebagai fungsi utamanya, tetapi hanya digunakan sebagai mobil operasional Kemkominfo di Kota Palopo sehingga program ini tidak lagi berjalan dengan optimal. Melalui penelitian ini, dirumuskan strategi-strategi yang digunakan untuk mengoptimalkan kembali Program M-PLIK ini. Hasil penelitian ini berupa formulasi strategi optimalisasi. Hasil strategi-strategi optimalisasi dipetakan ke dalam tiga kategori yaitu strategi optimalisasi berdasarkan pencapaian kinerja maksimal, strategi optimalisasi berdasarkan penggunaan biaya minimal, dan kombinasi terbaik dari kinerja maksimal dan biaya minimal.  In 2010, the Government through the Ministry of Communication and Informatics launched the District Internet Service Center Program (PLIK) and the District Internet Service Center Mobile Program (M-PLIK). This program is part of the Universal Service Obligation (USO) with basic services (voice) to data services (internet). However, after being evaluated, it was found that this program caused problems everywhere, starting from the uneven distribution of this program, debt problems with the parties involved, the neglect of dozens of M-PLIK fleets in several areas, to the detection of corruption by the Ministry of Communication and Information officials. Based on observations about the conditions of the M-PLIK Program in Palopo City, information was obtained that the M-PLIK fleet is still operating in Palopo City. However, since 2015 it has no longer been used as its main function but is only used as an operational car for the Ministry of Communication and Information official in Palopo City so that this program is not running optimally. Through this research, strategies are formulated to optimize the M-PLIK Program. The results of this study are in the form of an optimization strategy formulation. The results of the optimization strategies are mapped into three categories, namely optimization strategies based on achieving maximum performance, optimization strategies based on the use of minimal costs, and the best combination of maximum performance and minimum costs.

scholarly journals An Adaptive Topology Optimization Strategy for GNSS Inter-satellite Network

2021 ◽  
Author(s):  
Kai HAN ◽  
Bingbing XU ◽  
Fengwei SHAO ◽  
Wenbin GONG ◽  
Qianyi REN
Keyword(s):  
Topology Optimization ◽  
Satellite Communication ◽  
Time Slot ◽  
A Priori ◽  
Satellite System ◽  
Optimization Strategy ◽  
Satellite Link ◽  
Communication Time ◽  
Adaptive Topology ◽  
Global Navigation Satellite

Inter satellite link (ISL) is an effective way for the global navigation satellite system (GNSS) to reduce its dependence on ground infrastructure, which guarantees constellation orbit determination and satellite communication. When the number of onboard Ka-band ISL antennas is less than that of visible satellites, the inter-satellite link assignment of GNSS causes a problem. For the problem of inter-satellite link scheduling, considering that the result of the allocated link has a feedback effect on the subsequent link assignment as a priori knowledge, an adaptive topology optimization algorithm based on signed variance (ABSV) is proposed. In order to meet the requirements of communication and ranging performance, the time slot is divided into a communication time slot and a ranging time slot. Taking the waiting delay time of satellite communication and PDOP as measurement indexes, the proposed strategy is simulated for 10080 min. The results show that the ranging performance of this strategy is better than other recently published methods, which verifies the effectiveness of signed variance for adaptive link planning and is also beneficial to the survivability of constellation.

scholarly journals The Performance Optimization of Main Engine Injector of MV. Sinar Papua

2019 ◽  
Author(s):  
Agus Tjahjono ◽  
Boedojo Wiwoho ◽  
Saifudin Afandi
Keyword(s):  
Data Collection ◽  
Performance Optimization ◽  
Swot Analysis ◽  
Optimization Strategy ◽  
Random Data ◽  
Collection Method ◽  
Data Collection Method ◽  
Main Engine

This study was aimed to analyze the performance optimization of the Main Engine injector in MV (Motor Vessel) Sinar Papua. This research used SWOT analysis (Strength, Weakness, Opportunity, and Threat) to formulate the exact strategy in optimizing the injector’s performance. In this study, the data were obtained through questionnaire with random data collection method. Based on the research, the optimization strategy could be done through (1) improving the skill of the engineer in maintaining the injector of the main engine, and (2) establishing sanctions to those who do not carry out injector maintenance according to the procedure of the manual book.

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